"I highly recommend the second edition of this book. The authors have made wise choices of covering the most valuable and practical time-series methods for economic and business forecasting. The text ...
This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning ...
Steve Matthews, Statistics Canada 'This book is a great introduction to the ideas and methods of time series data analysis. Chapter by chapter, it will show you its most valuable features, like the ...
A new machine learning (ML) model from Georgia Tech could protect communities from diseases, better manage electricity ...
AI, particularly machine learning techniques, excels at tackling P-class problems. Examples include time series forecasting tasks like retail demand prediction and point-of-sale volume forecasting ...